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manbearpig-mb
/
keras-native-scanner-bypass

Keras
security-research
proof-of-concept
Model card Files Files and versions
xet
Community

Instructions to use manbearpig-mb/keras-native-scanner-bypass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use manbearpig-mb/keras-native-scanner-bypass with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://manbearpig-mb/keras-native-scanner-bypass")
    
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
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  • poc_control_top_level.keras
    804 Bytes
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  • poc_dense_activation_lambda.keras
    847 Bytes
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  • poc_keras_lambda_bypass.py
    14.1 kB
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  • poc_kernel_initializer_lambda.keras
    887 Bytes
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  • poc_nested_lambda.keras
    1.03 kB
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  • poc_nested_lambda_v2.keras
    11.1 kB
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  • poc_nested_sequential_v2.keras
    15.3 kB
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